Nate Lanxon (NLW)

We see leadership employee misalignment where leaders are not sending clear signals around what employees are expected to do or how they're going to be supported in doing it.

But we also see the other end of the spectrum where leaders are dropping emails every day about the latest cool tool, but without context, structure, expectation, frameworks put together.

And that really leads to that sort of change fatigue that you've said.

And by the way, we see this show up in the numbers as well.

I know Writer did a survey last year where they, in December, they released it.

where they looked at interviewed 800 managers and 800 employees, and they found that just this vast difference in their belief set around how their companies were doing with AI.

I know they're doing another version of that or an updated version of that right now.

So I'll be interested to see what that says.

But I think that leadership employee misalignment, be it that leaders aren't engaged enough or that they're too engaged, really is it's almost an unovercomeable hurdle when it comes to this stuff.

Yeah, I mean, part of why we decided to put culture up front is that these, unfortunately in some ways, are the issues that cannot be outsourced.

You can grab frameworks from the outside, you can find people who are good at change management to support, but ultimately these are internal processes that need to be handled internally in conversation, dialogue between the different parts of the company.

And there's just no shortcuts for that.

I think that your point about jobs is one that I echo all the time.

It is super important to me.

Everyone I think understands, you know, adults being adults understand that it is basically impossible for their companies to say nothing's ever going to change.

No one's ever going to get fired.

No one, nothing is going to be impacted by this transformational technology.

But what people respond well to is leadership articulating

how they're viewing AI on a more fundamental level.

I've often introduced the sort of heuristic of efficiency AI versus opportunity AI.